Falcon is the Digital Twin Simulation Platform helping transform the way users develop and deploy smart systems with domain tailored simulation designed to meet high-fidelity needs of any use case. Falcon is trusted by leading robotics and AI/smart systems teams as a complete spatial simulation solution that combines speed and accuracy with unparalleled accessibility. Accurate synthetic data and predictive behavior modeling generated in Falcon help our customers successfully bridge the Sim2Real gap.

Falcon is a powerful simulation tool but it is designed to be used by engineers and to integrate into their existing workflows without need for a dedicated simulation team. This usability is powered by comprehensive end to end workflows that closely mirror the physical world processes of the user.

How does this work in practice?
Falcon provides a catalog and asset management solution that supports the import of most 3d model formats. Users bring in digital twins of their physical assets (machine systems and static items) and photoreal environments (existing or created based on geospatial data via a custom AI pipeline) into Falcon.

Falcon enables users to bring in physics and behavior accurate models of their machines along with their complete autonomy software. Accurate behavior is achieved via native integrations and support of most protocols vital for AI and autonomous systems. This includes: ROS/ROS2 integration and AI pipelines along with MATLAB models and native co simulation capabilities.

Complex real world scenarios are composed modularly by leveraging the available and custom made digital twins as building blocks. This modular nature along with a flexible Python API lets users tune and modify any scenario at runtime without need for building a whole new scenario. The same process allows for the placement of virtual sensors onto any system in the scenario. Falcon includes an instantly available library of sensors (multiple cameras/Lidar/Radar/GPS/IMU and more) along with support for addition of custom and proprietary sensors.

Falcon enables scenario simulation to be carried out deterministically and in real time (with faster and slower than real time capabilities). Resulting data can be leveraged for any use case. Data generated via open loop simulation is exported to any desired storage solution for ML/AI model training. Data from closed loop simulation is streamed over ROS/ROS2 or other messenger systems and is leveraged to test and fine tune machine behavior.